Method for identifying potential landslide hazard of reservoir bank based on rock mass degradation feature
Abstract
A method for identifying a potential landslide hazard of a reservoir bank based on a rock mass degradation feature, includes: determining a remote sensing interpretation identification mark of a potential landslide hazard site induced by rock mass degradation of a hydro-fluctuation belt of a bank slope, and establishing a potential landslide hazard site catastrophe evolution identification model; obtaining an orthoimage of a degradation belt, performing preliminary remote sensing interpretation on the orthoimage, and delineating an area prone to landslide; obtaining an oblique real-scene three-dimensional model of the area prone to landslide by the orthoimage, generating digital elevation model (DEM) data according to the oblique real-scene three-dimensional model for remote sensing fine interpretation, and identifying and extracting the mark; and inputting the mark into the potential landslide hazard site catastrophe evolution identification model to identify a catastrophe evolution mode of the potential landslide hazard site of the degradation belt.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method for identifying a potential landslide hazard of a reservoir bank based on a rock mass degradation feature, comprising:
S 1 , analyzing an aerial remote sensing data feature and field survey data, performing screening to determine a remote sensing interpretation identification mark of a potential landslide hazard site induced by rock mass degradation of a hydro-fluctuation belt of a bank slope, and establishing a potential landslide hazard site catastrophe evolution identification model according to the remote sensing interpretation identification mark; S 2 , obtaining an orthoimage of a reservoir bank degradation belt in a survey area by oblique photography of an unmanned aerial vehicle, performing preliminary remote sensing interpretation on the orthoimage according to the remote sensing interpretation identification mark, and delineating an area prone to landslide; S 3 , obtaining an oblique real-scene three-dimensional model of the area prone to landslide by the orthoimage, generating digital elevation model (DEM) data according to the oblique real-scene three-dimensional model for remote sensing fine interpretation, and identifying and extracting the remote sensing interpretation identification mark of the potential landslide hazard site; and S 4 , inputting the remote sensing interpretation identification mark obtained in S 3 into the potential landslide hazard site catastrophe evolution identification model to identify a catastrophe evolution mode of the potential landslide hazard site of the degradation belt.
2 . The method according to claim 1 , wherein the performing preliminary remote sensing interpretation on the orthoimage comprises: using pix4D software to group orthoimages according to a sequence to generate one orthophoto map for each group respectively, interpreting the orthophoto map for each group respectively, and delineating the area prone to landslide.
3 . The method according to claim 1 , wherein the obtaining an oblique real-scene three-dimensional model in S 3 comprises:
using smart3D software to group orthoimages of the area prone to landslide, performing aerial triangulation to generate point cloud data, and using an internal vector function relation algorithm of the smart3D software to form a triangular irregular network according to preset point cloud density, so as to construct a 3D model with points, lines and planes; and
matching depth images of different visual angles in the 3D model to a same coordinate, obtaining a complete 3D model of an object by depth image fusion, then determining a mapping relation between a summative depth image and a texture image of the 3D model, defining a composite weight for texture fusion to obtain a whole texture mapping image, carrying out texture mapping of the 3D model, and finally constructing the oblique real-scene three-dimensional model.
4 . The method according to claim 3 , wherein the generating DEM data according to the oblique real-scene three-dimensional model for remote sensing fine interpretation in S 3 comprises: obtaining the point cloud data of a rock mass degradation area by the oblique real-scene three-dimensional model to generate a high-precision DEM model, and using the DEM model to extract a bank slope gradient classification interval, so as to interpret the potential landslide hazard site to extract the remote sensing interpretation identification mark of the potential landslide hazard site.
5 . The method according to claim 1 , wherein the remote sensing interpretation identification mark comprises a degradation type, a structural plane development feature, a bank slope structure, lithology and rock mass structure, and a boundary feature.
6 . The method according to claim 5 , wherein the degradation types comprise a corrosion subsurface erosion type, a crack manifesting and expansion type, a mechanical erosion type, a soft and hard alternate erosion type, a scouring abrasion type, a loose stripping type and a structural plane disintegration block-cracking type; the structural plane development features comprise large structural plane development and controlled structural plane development; the bank slope structures comprise a dip bank slope, an inclined dip bank slope, a bank slope in a counter direction and a gentle layered bank slope; in the lithology and rock mass structure, the lithology comprises a carbonatite type rock mass and a clastic rock type rock mass, and the rock mass structure comprise a blocky structure, a layered structure, a fragmentation structure, a loose structure and a soft and hard alternate structure; and the boundary feature is a boundary form of the potential landslide hazard site.
7 . The method according to claim 1 , wherein the catastrophe evolution mode of the potential landslide hazard site of the degradation belt comprises a base fragmentation crushing type, a base emptying toppling type, a forward sliding type, a soft and hard alternate crumbling type, an apparent tendency wedge-shaped sliding type and a reverse toppling type.Join the waitlist — get patent alerts
Track US2022383475A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.